Statistical Applications Using Fuzzy Sets

Statistical models used in the analysis of high dimension discrete response data have classically been based on the concept of "crisp" sets (sets where all objects are exclusively assigned to one analytical category). Fuzzy set logic assumes that the state of nature is such that objects may have partial membership in two or more sets. A series of fuzzy partition models appropriate to different observational models are presented within this book.